Artificial Intelligence - Special issue on knowledge representation
Temporal reasoning based on semi-intervals
Artificial Intelligence
Tachyon: a constraint-based temporal reasoning model and its implementation
ACM SIGART Bulletin
Temporal reasoning in Timegraph I–II
ACM SIGART Bulletin
A model and a language for the fuzzy representation and handling of time
Fuzzy Sets and Systems
Efficient algorithms for qualitative reasoning about time
Artificial Intelligence
On the computational complexity of querying bounds on differences constraints
Artificial Intelligence
Combining qualitative and quantitative constraints in temporal reasoning
Artificial Intelligence
Constraint tightness and looseness versus local and global consistency
Journal of the ACM (JACM)
A spectrum of definitions for temporal model-based diagnosis
Artificial Intelligence
Deriving Trends in Historical and Real-Time Continuously Sampled Medical Data
Journal of Intelligent Information Systems - Special issue on integrating artificial intelligene and database technologies
Maintaining knowledge about temporal intervals
Communications of the ACM
IEEE Transactions on Knowledge and Data Engineering
The VLDB Journal — The International Journal on Very Large Data Bases
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
Hybrid temporal reasoning for planning and scheduling
TIME '96 Proceedings of the 3rd Workshop on Temporal Representation and Reasoning (TIME'96)
Fuzzy constraint networks for signal pattern recognition
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Reasoning with Numeric and Symbolic Time Information
Artificial Intelligence Review
Integrating quantitative and qualitative fuzzy temporal constraints
AI Communications - Special issue on: Spatial and temporal reasoning
A temporal constraint structure for extracting temporal information from clinical narrative
Journal of Biomedical Informatics
Artificial Intelligence in Medicine
Fuzzy theory approach for temporal model-based diagnosis: An application to medical domains
Artificial Intelligence in Medicine
Temporal abstraction in intelligent clinical data analysis: A survey
Artificial Intelligence in Medicine
Temporal constraints in clinical diagnosis
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Challenges for future intelligent systems in biomedicine
Temporal Abstraction of States Through Fuzzy Temporal Constraint Networks
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Temporal Data Mining with Temporal Constraints
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Temporal similarity by measuring possibilistic uncertainty in CBR
Fuzzy Sets and Systems
The design and experimental analysis of algorithms for temporal reasoning
Journal of Artificial Intelligence Research
Managing efficiently temporal relations through indexed spanning trees
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
The algebra IAfuz: a framework for qualitative fuzzy temporal reasoning
Artificial Intelligence
Integrating metric and qualitative temporal reasoning
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Discriminating exanthematic diseases from temporal patterns of patient symptoms
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Temporal query processing with indefinite information
Artificial Intelligence in Medicine
On the use and usefulness of fuzzy sets in medical AI
Artificial Intelligence in Medicine
Computing problem oriented medical records
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
Temporal Bayesian Knowledge Bases - Reasoning about uncertainty with temporal constraints
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
The aim of this paper is to demonstrate how temporal reasoning techniques can assist in the analysis of epidemiological data to determine the possibility of contagion among humans of the avian influenza virus (H5N1). To do so, we use a documented real case of a possible infection of H5N1 between humans, and formally substantiate the medical evidence. The need to represent and manage time is implicit in many reasoning processes. This is particularly evident in the field of medicine, in which the temporal distribution of symptoms is crucial for understanding the evolution of diseases. Many models have been proposed for time representation and management. In this paper we propose the use of a generic temporal reasoner, FuzzyTIME, which is able to represent both points and intervals, as well as relations, including quantitative and qualitative ones, through a specifically designed language. Moreover, being based on FTCN (fuzzy temporal constraint networks), the proposed model also allows us to capture both temporal imprecision and uncertainty present in complex domains as the medical one. Nevertheless, the reasoner has been design to have an easy integration with any knowledge based system that need this kind of representation and reasoning. To perform the analysis of the real case selected, we first clearly identified the temporal information in each of the timelines of the subjects under study. Subsequently, this information was formalized in the language provided by FuzzyTIME. After verifying the temporal consistency of such information in every subject, we proceeded to check the temporal consistency of such information with the generic clinical symptoms of evolution of avian influenza. Finally, the queries which were modeled allowed us to determine the temporal possibility of infection between human of the H5N1 virus. First, we demonstrate the usefulness of temporal reasoning in the modeling and analysis of epidemiological data, showing how the FTCN formalism and the proposed language is sufficiently expressive to represent qualitative and quantitative temporal relations as well as the temporal imprecision implicit in certain expressions extracted from the real case selected. Moreover, the temporal reasoner permits efficient determination of the temporal consistency of the medical evidence concerning the possibility of infection of H5N1 between humans.